A quick "walk-through" Eonfusion\'s 4-Dimensional Analysis & Visualization Solution

1. Excellence in Environmental Technology

2. About Us – Organisational Profile
- Established in 1990
- 57 People including Biologists, Physicists, Mathematicians, S/W & H/W Engineers,
Behaviorists, Sales, Marketing & Finance.
- Development Team of 31
- Offices - Head Office is in Hobart, Australia with sales and support offices in
Shimonoseki (Japan) and San Diego (USA). Agents in 13 Countries.
- Commitment to Innovation – Substantial investment in technological innovation over
several years has lead to world leading technologies in the area of smart sensor
systems for aquaculture, hydro acoustic analysis software and 4D environmental data
analysis and visualisation software.
- Funding from Starfish Ventures, Australia’s leading early stage technology investor.
Funds under management U$200m+
- Languages spoken – Korean, Japanese, Mandarin, Indonesian, French, German,
Spanish, Greek, Dutch, Polish and English

3. About Us – Products
4D Environmental Data Analysis Software
Fisheries Acoustics Analysis Software Sensor Systems for Aquaculture

4. Product:
The unique new application that allows you to
integrate, analyse and communicate complex
spatial and temporal environmental data in 4D
Blue whale dive tracks to krill schools in Monterey Bay Canyon, California

5. What is Eonfusion?
A universal, scientific level software solution for
integrating, visualising and analysing diverse sets of
coincident environmental data
A versatile application that handles modeled, empirical and
near real time environmental data
Fills the gap between the capabilities of GIS, statistical
analysis, graphing, visualisation and programming packages

6. Core Technology
• Data model is 4D + features
• Memory management designed for large data sets
• Data flow modeling
• Genuine 4D topology model and graphics engine
• Fuses disparate data types in an integrated context
• Support for user coding (API)
• Intuitive user interface and coding environmental
• Attribute migration
• Partitions and classifies data to generate higher
dimensional objects

7. Data Integration
Work effectively with multiple coincident data
sources in scenes
Vector
Raster
Media

8. Analysis & Visualisation
• Identify and interpret
interactions between
complex, multivariate data
sets
• Visualize time-varying data
in the context of
topographical data
• Manipulate 4D data and Fish Abundance summary and raw acoustic backscatter
information from a multiple frequency fisheries acoustic survey.
linked 2D graphical data
Image credit “Data provided by Chris Wilson and Paul Walline, NOAA Alaska Fisheries
simultaneously Science Center.”

9. Communication & Sharing
Communicate via:
Sonar & Video Habitat Classification Data Flow Model
• Powerful visualisation
• Sharing of Data Flows
– Send to others
– Build as a team
• Sharing application data,
visualization methods,
analysis methods and user
developed extensions
• Present attribute-rich 4D
interactive content

10. Extensibility
• Operators
• Integration
• “Expression evaluator”
• Application Programming Interface (API)
• Flexible data sources

11. Example Applications
• Terrestrial and Aquatic Ecology
• Change Detection
• Environmental Monitoring
• Habitat Mapping
• Spatial Modelling
• Remote Sensing
• Tracking
• Oceanography
• And Many More!

12. Ecosystem-wide Process Assessment
High resolution DEM constructed
from multi-beam bathymetry
data fused with terrestrial LiDAR
Distribution of vulnerable salt-
marsh habitats (red) impacted by
sea-level rise
Projected sea-level rise from present day to 2108
Elkhorn Slough is a shallow-water embayment that is part of a 585-km2 watershed at the
easternmost extent of the Monterey Bay in California. In 1974 the shoreline dunes were
ADCP data showing cross-sectional flow patterns breached to extend the harbour leading to significant erosion of the channel during tidal cycling
during tidal cycling and exposure of vulnerable salt marsh habitats to rising sea levels. In a holistic approach to
assessing ecosystem wide processes arising from the breach scientists and engineers have
utilised Eonfusion to rapidly assess the impact of altered flow dynamics and rising sea level
scenarios on the vulnerable ecosystems.

13. - Autonomous Applications -
Working with a large variety of sensors
Standard Deviation filter applied to
ADCP data to remove bad soundings.
Green halos show higher Std. Dev.
Unfiltered
Video mapped to AUV track provides
visual qualification and ground-truth
Expression Evaluator
capabilities
Filtered

14. Environmental Monitoring
ETOPO world elevation model
draped with Blue-Marble
satellite imagery (3D raster)
4D visualisation of telemetry data
from ARGO profiling floats
(netCDF Rasters)
Effective visualisation of multiple water quality Explore relationships between variables and
parameters (temperature and salinity) ground truth data sets using dynamic graphs

15. Change Detection
Long-term change in sediment
morphology between 2003-2006
dominated by erosion
Change in surface morphology between Winter
and Autumn 2006 indicating sediment deposition
Detecting changes in surface morphology using multi-beam bathymetry data collected over Monterey Canyon, canyon between 2003 and 2006. Using
Eonfusion’s Expression Evaluator, depth attributes from consecutive surveys were used to calculate the change in surface morphology with the magnitude
represented inside the scene view (dark blue colouration indicate areas of erosion through to dark red for areas of deposition). Eonfusion's time slider allows
the easy transition between survey grids for rapid assessment of both intra and inter-annual change.
Data courtesy of the Seafloor Mapping Lab at CSU Monterey Bay: http://seafloor.csumb.edu/SFMLwebDATA_mb.htm#CANYON

16. Coastal Impact Assessment
LiDAR generated DEM
with aerial photography
drape
Verification of LiDAR DEMs using AHD
survey points.
Effective visualisation of IPCC
sea level height using the time Model scenarios can be modified
referenced scene slider inside Eonfusion’s Expression
Evaluator and impacts immediately
4D Shoreline retreat scenario using LiDAR
assessed
DEM, IPCC sea level rise data and
vulnerability modeling

17. Remote Sensing
Support for raw LiDAR
import
Height-above-ground returns mapped to scene
slider for effective visualisation of vegetation
Effective utilisation of raster
and vector data in coincident
spatio-temporal scenes Ground returns extracted from full waveform data
Feature identification
using Eonfusion’s Expression Evaluator
using signal amplitude

18. Spatial Modelling
Theoretical re-vegetation of Mt St Helens using Eonfusion’s Expression Evaluator
LiDAR derived DEM
operator: evolution of a spatio-temporal competitive interaction model between two
plant species
Modeled larva flow
Calculation of slope normals
Efficient manipulation of parameters and
interactive visualisation of model outputs
Growth probability model

19. Ground – truthing and Verification
Verification of multi-beam derived
habitat maps using time-indexed still
and video imagery collected by a
remotely operated vehicle (ROV)
Spatio-temporal
referencing of
media data
Integration of vector, raster and
media data with effective coincident
visualisation

20. Animal Tracking
ETM+ images Individual Wolf tracks derived from satellite
draped over 50m collars. Track data fused with USGS DEM
USGS DEM to derive accurate elevation
Time slider allows effective navigate through
the complex 4D environment
3D halos used effectively
Integration of R processing
identify positional uncertainty
routines to create a 4D Time-
(DOP) around wolf locations
spent analysis surface

21. Unique Programming Environment
Data source operators support Pre-defined operators perform
common processing tasks without
•Vector
specialised user experience
•Raster
•Media (video, still imagery)
‘On-the-fly’
projection of
source data
within scenes
Control of metadata
settings allows
User extensible operators allow
efficient translation
manipulation of data sources using
and projection of
an intuitive coding interface
spatio-temporal data
sources

22. Key Features
• Powerful visualisation
• Highly extensible analysis
• Elegant handling of time-varying data
• Integrates large disparate data sets
• Shareable methods

23. Benefits
• Significant reduction in effort required to:
– Integrate and explore environmental data
– Discover spatial and temporal relationships
– Migrate attributes between data sets
– Build high quality visualizations
• Better methods for communicating complex
information to clients and stakeholders
• Standardised and shareable methods within
and across disciplines
• High ROI

24. Eonfusion outperforms.....
 Advanced data fusion
 Visual dataflow model
 Video and still image fusion (video ground truthing)
 Perpetual license with no add-on module costs!
 Revolutionary C# Integrated Development Environment / API
 Cutting edge user interface design & architecture
 Optimised processing architecture for fast renderings / visualisations

25. Future-proof
• Skilled and committed Development Team
• Staff dedicated to QA & documentation
• Experienced support team
• Ongoing development model
• Proven track record